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Exploring Barriers that Affect Telerehabilitation Readiness: A Case Study of Rehabilitation Centre in Malaysia

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Recent Trends in Data Science and Soft Computing (IRICT 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 843))

Abstract

TeleRehab enables the rehabilitation services to be delivered in distance by providing information exchange between patient with disabilities and the clinical professionals. The readiness step in any adoption of healthcare services should always be one of the requirements for a successful implementation of an innovation. However, little scholarly has been undertaken to study its influence on TeleRehab and the various barrier factors that influence its adoption. This research explores the barrier factors that influence the readiness of healthcare institution to adopt TeleRehab. This paper presents a semi-structured interview involving 23 clinical professionals of a case study on the issues of TeleRehab readiness in one rehabilitation centre in Malaysia. By applying thematic analysis, the study uncovers seven barriers that affect the TeleRehab readiness. This includes barriers of no urgency to change, less awareness, less involvement in planning, not enough exposure on e-Healthcare knowledge, resistance to change, low usage of hardware and software, and less connectivity. The study contributes to both TeleRehab management and technology readiness research in hospitals.

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Acknowledgment

The author wants to appreciate the Editor and anonymous referees for their constructive comments and criticism. This work was supported by the International Grant USIM/INT-NEWTON/FST/IHRAM/053000/41616 under Newton-Ungku Omar Fund.

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Correspondence to Mahadi Bahari .

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Jafni, T.I., Bahari, M., Ismail, W., Hanafi, M.H. (2019). Exploring Barriers that Affect Telerehabilitation Readiness: A Case Study of Rehabilitation Centre in Malaysia. In: Saeed, F., Gazem, N., Mohammed, F., Busalim, A. (eds) Recent Trends in Data Science and Soft Computing. IRICT 2018. Advances in Intelligent Systems and Computing, vol 843. Springer, Cham. https://doi.org/10.1007/978-3-319-99007-1_70

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